Role Overview

A leading global technology organization is looking for a Databricks Data Engineer to design, build, and optimize modern data platforms in a cloud environment. This role focuses on developing scalable data pipelines, ensuring data quality, and enabling advanced analytics and AI use cases. The ideal candidate brings strong experience in big data processing, cloud technologies, and the Databricks ecosystem, with a focus on building efficient, secure, and production-ready data solutions.

Data Engineering & Pipeline Development

• Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, and processing.
• Build high-performance data workflows using the Databricks ecosystem, including Delta Lake and structured streaming capabilities.
• Implement reusable data transformation and validation logic for consistency across pipelines.
• Ensure data quality, integrity, and r...